IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v25y2022i7p740-749.html
   My bibliography  Save this article

Simulation of stent retriever thrombectomy in acute ischemic stroke by finite element analysis

Author

Listed:
  • Ronghui Liu
  • Chang Jin
  • Lizhen Wang
  • Yisong Yang
  • Yubo Fan
  • Weidong Wang

Abstract

Stent retriever thrombectomy has become an effective method for treating acute ischemic stroke. Successful recanalization cannot be achieved for all patients. The outcome of mechanical thrombectomy may be associated with some mechanical factors, requiring efficient tools that are able to assess the interaction between stent retrievers and clots. In this study, a simulation by finite element analysis was developed to evaluate the outcome of stent retriever thrombectomy for clots of different sizes and frictional properties. The deployment and retrieval of the stent retriever were conducted in a middle cerebral artery model. The recanalization, deformation of the clot and stent retriever and the stress induced in the clot were assessed. The results showed that higher friction could lead to failed recanalization and increased stress in the clot. The simulation method can be used to characterize the mechanical behaviour of stent retrievers and clots, offering a potential tool for the optimization of device design and the selection of surgical strategies.

Suggested Citation

  • Ronghui Liu & Chang Jin & Lizhen Wang & Yisong Yang & Yubo Fan & Weidong Wang, 2022. "Simulation of stent retriever thrombectomy in acute ischemic stroke by finite element analysis," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 25(7), pages 740-749, May.
  • Handle: RePEc:taf:gcmbxx:v:25:y:2022:i:7:p:740-749
    DOI: 10.1080/10255842.2021.1976761
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2021.1976761
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10255842.2021.1976761?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:gcmbxx:v:25:y:2022:i:7:p:740-749. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.